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Quantitative Methods and Analysis - Essay Example

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Unit – American InterContinental University Dear American Intellectual Union: Greetings and salutations! The following email contains the results and findings of the analysis made on the database that contains important information on the job satisfaction level of thirty-six (36) employees…
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Quantitative Methods and Analysis
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Particular demographic information includes employees’ gender, age group, department, position, and length of tenure with the company. Job satisfaction and satisfaction with the benefits received are measured using a Likert-type scale from 1 to 7, with 1 representing a “Least Satisfied” measure while 7 represents a “Most Satisfied” measure. Employee gender is either male or female; age group was divided into three, with those belonging to age 16 to 21, 22 to 49, and 50 to 65. Employees were classified according to three possible departments: Human Resources, Information Technology, and Administration; they were classified as either hourly employees who were eligible for overtime pay, or salaried employees who were not eligible for overtime pay.

Their tenure with the company was also noted in the database and subdivided into three levels: less than two years, 2 to 5 years, and more than 5 years. In today’s day and age, statistics finds more and more uses in the workplace. For example, statistics is used to find the demographic distribution of employees in the workplace (Black, 2010). Those working in the Quality Control department use statistics to determine the products that are of good enough quality to be distributed to the market.

Managers use statistics to determine employee performance and operational costs and values. Employees use statistics to keep track of their performance level too, knowing very well that such figures may mean the difference between promotion and service termination (Anderson, Sweeney, & Williams, 2009). Any organization that uses appropriate and correctly interpreted statistics will truly benefit in providing a more scientific venue for their decision making needs. With the use of statistics, problems may be identified early on, and corrected as necessary (Rubin, 2009).

Moreover, statistics also provides evidence and actual proof of where an organization may focus its resources, whether in the form of physical or human capital. As the rest of this report will illustrate, statistics may be used to determine the thoughts and feelings of an organization’s members. This is very crucial because human resource and the satisfaction and proper treatment of employees should be a major concern for any organization (Cook, 2008). In placing the focus on the information provided by the database, it was found that 61% of the surveyed employees were male and 39% were female.

These figures indicate that while females have long been in the employed sector, employees are still predominantly male. Among male employees, 54% have been with the company less than two years, 32% have been with the company between two to five years, and 14% have been with the company more than five years. Among female employees, 21% have been with the company less than two years, 58% have been with the company between two to five years, and 21% have been with the company more than five years.

These statistics show that female employees are more loyal career-wise because they tend to stay with their company for a longer period of time. When it comes to extrinsic job satisfaction, males and female tend to be similarly satisfied with a mean value of 5.4 for both genders. This value seems to translate to overall job satisfaction as there is a 41% chance that an employee’s overall job satisfaction level is at least 5.2. When classified according to department, majority of the employees were in

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